Department of Chemistry , Capital Normal University , Beijing 100048 , China.
College of Chemical and Environmental Engineering , Shandong University of Science and Technology , Qingdao 266590 , China.
Anal Chem. 2019 May 7;91(9):6315-6320. doi: 10.1021/acs.analchem.9b01139. Epub 2019 Apr 17.
Sensor arrays, called "electronic tongues", provide an alternative to time-consuming detection approaches. In this work, a colorimetric-sensor array composed of three recognition receptors (cysteine, l-glutathione, and melamine) was developed for fast discrimination of toxic metal ions. Different recognition receptors exhibited different binding affinities toward metal ions, causing diverse gold-nanoparticle (AuNP)-aggregation behaviors and generating distinct colorimetric response patterns. As "fingerprints", these response patterns can be quantitatively analyzed by linear-discriminant analysis (LDA). The sensor array achieved good discrimination of six kinds of metal ions (Ti, Cr, Mn, Fe, Pb, and Sn) in deionized water and real samples. It possessed good reproducibility and exhibited a linear range of 100-900 nM ( R = 0.97) for Ti, 100-900 nM ( R = 0.97) for Cr, 100-900 nM ( R = 0.98) for Mn, 100-1000 nM ( R = 0.92) for Sn, 100-800 nM ( R = 0.94) for Fe, and 100-900 nM ( R = 0.97) for Pb. The sensor array shows feasible potential in environmental monitoring and simplification of water-quality analysis.
传感器阵列，称为“电子舌”，为耗时的检测方法提供了一种替代方法。在这项工作中，开发了一种由三个识别受体（半胱氨酸、L-谷胱甘肽和三聚氰胺）组成的比色传感器阵列，用于快速区分有毒金属离子。不同的识别受体对金属离子表现出不同的结合亲和力，导致不同的金纳米粒子（AuNP）聚集行为，并产生不同的比色响应模式。作为“指纹”，这些响应模式可以通过线性判别分析（LDA）进行定量分析。该传感器阵列能够很好地区分去离子水和实际样品中的六种金属离子（Ti、Cr、Mn、Fe、Pb 和 Sn）。它具有良好的重现性，对 Ti 的线性范围为 100-900 nM（R = 0.97），对 Cr 的线性范围为 100-900 nM（R = 0.97），对 Mn 的线性范围为 100-900 nM（R = 0.98），对 Sn 的线性范围为 100-1000 nM（R = 0.92），对 Fe 的线性范围为 100-800 nM（R = 0.94），对 Pb 的线性范围为 100-900 nM（R = 0.97）。该传感器阵列在环境监测和简化水质分析方面显示出了可行的潜力。
